Inspiration

As students, we strive to help our community find a place to work ranging from part time during university to professions post graduation.

What it does

Our application takes in a resume, job title, and location and searches through a public API to find online job postings based on nearby locations. There, it returns median salary earnings and the link to apply for the job.

How we built it

We built our front end completely in TypeScript, and our data base in Python. For our database, we used Py Mongo, and we also used Flask for our endpoints to link the front end and back end. We also used multiple APIs to get job postings from the internet and access OpenAI for our resume parser. Lastly, we finished the UI with Figma.

Challenges we ran into

The deployment of the website was a big challenge that took a lot of debugging.

Accomplishments that we're proud of

Using OpenAi's APR, we were able to make an extremely accurate resume parser that saves the user the time of filling out various forms. This provides an advantage over other competitors.

What we learned

We learned about Mongo Database and how to effectively incorporate it in Python and link it into our front-end in TypeScript. We also learned about OpenAI's API and how to properly parse pdfs into script using AI.

What's next for Clear Jobs

More Accurate Information on Location for Job Postings, Hopefully getting Recognized.

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